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Artificial Intelligence In Medicine Jobs (NOW HIRING)

SimIS Inc.

Artificial Intelligence Integrator (N)

Norfolk, VA · On-site

  • Medical

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Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small ... To support our NATO customer, SimIS seeks an Artificial Intelligence Integrator to facilitate ...

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Artificial Intelligence In Medicine information

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How much do artificial intelligence in medicine jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for artificial intelligence in medicine in the United States is $117.61, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $192.31 per hour, depending on experience, location, and employer.

What is artificial intelligence in medicine?

Artificial intelligence in medicine refers to the use of advanced algorithms and machine learning techniques to analyze complex medical data and assist in decision-making processes. AI can help with tasks such as diagnosing diseases, predicting patient outcomes, personalizing treatment plans, and managing healthcare operations. The goal is to improve accuracy, efficiency, and patient care while reducing costs and human error. AI is increasingly being integrated into various medical fields, from radiology to drug discovery.

What are some typical challenges faced by professionals working in artificial intelligence in medicine and how can they be addressed?

Professionals in Artificial Intelligence in Medicine often encounter challenges related to data privacy, integration of AI systems into existing clinical workflows, and ensuring the reliability and interpretability of AI models. Navigating regulatory requirements and gaining the trust of healthcare providers can also be demanding. Addressing these challenges typically involves collaborating closely with clinicians, data scientists, and IT teams, as well as staying updated on industry standards and regulatory changes. Continuous professional development and open communication within multidisciplinary teams are key strategies for success in this evolving field.

What are the key skills and qualifications needed to thrive in artificial intelligence in medicine and why are they important?

To thrive in Artificial Intelligence in Medicine, you need strong foundations in computer science, machine learning, and biomedical sciences, often supported by advanced degrees in these fields. Familiarity with programming languages like Python, AI frameworks (such as TensorFlow or PyTorch), and medical data systems is essential, and certifications in data science or health informatics are beneficial. Critical thinking, interdisciplinary collaboration, and effective communication are standout soft skills for this role. These skills ensure the safe and impactful integration of AI solutions to improve patient outcomes and advance medical research.

What is the difference between Artificial Intelligence In Medicine vs Medical Data Scientist?

AspectArtificial Intelligence In MedicineMedical Data Scientist
Required CredentialsBackground in AI, computer science, healthcareBackground in data science, statistics, healthcare
Work EnvironmentHospitals, research institutions, healthcare tech companiesResearch labs, healthcare organizations, biotech firms
Employer & Industry UsageDevelops AI tools for diagnosis, treatment, and patient monitoringAnalyzes healthcare data to inform clinical decisions and research

Artificial Intelligence In Medicine focuses on creating AI systems to improve healthcare delivery, while Medical Data Scientists analyze healthcare data to support clinical and research decisions. Both roles require a strong background in data and healthcare, but AI In Medicine emphasizes developing intelligent algorithms, whereas Medical Data Scientists focus on data analysis and interpretation.

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Artificial Intelligence In Medicine jobs near you
Infographic showing various Artificial Intelligence In Medicine job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $244,631 per year, or $117.6 per hour.

Endowed Chair in Artificial Intelligence Research

Texas State University

San Marcos, TX • On-site

Other

Re-posted 23 days ago

Texas State University rating

6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

533rd of 618 rated colleges and universities

Job description

Posting Information
Posting Information
Position Title
Endowed Chair in Artificial Intelligence Research
Job Posting Number
2026078TTL
Job Location
San Marcos
Department
Office of the Provost and EVPAA
Position Description
Texas State University seeks applications for an endowed chair at the rank of Professor to conduct research on any aspect of Artificial Intelligence. Texas State University seeks to establish a leadership position in Artificial Intelligence to complement existing research strengths in interdisciplinary applications of AI, interdisciplinary applications of AI, machine learning, computer vision, efficiency and responsible-use research. Texas State is also home to the Center for Analytics and Data Science (TXST CADS), an interdisciplinary hub for data-intensive research, education and outreach. Texas State University hosted a town hall on January 29 to discuss areas of impact for hiring in Artificial Intelligence research and to bring together the dynamic Artificial Intelligence research community.
Texas State University receives a full share of the Texas University Fund (TUF) and plans to invest funds in recruitment and substantial start-up support for strategic hires with established research programs and active external funding in historic and emerging areas of research strength, including Artificial Intelligence.
We seek to hire dynamic and innovative scholars with an exceptionally strong research record supported by external funding. An applicant's scholarly focus should complement and enhance the Artificial Intelligence scholarship and teaching strengths of Texas State, such as:
  • AI Systems and Infrastructure.
  • AI Ethics, Policy and Governance.
  • AI Across the Disciplines.
  • AI in Healthcare and Medicine.
  • AI in Communication and Digital Media.
  • AI in Supply Chain and Logistics.
  • AI in Manufacturing.
  • AI in Environmental and Sustainability Applications.
  • AI in Law and Criminal Justice.

Responsibilities:
  • Seek external funding and coordinate interdisciplinary grants with both internal and external collaborators.
  • Conduct and publish original research on Artificial Intelligence.
  • Lead interdisciplinary collaboration with faculty across the university.
  • Develop and maintain an active research agenda.
  • Teach undergraduate and graduate courses on Artificial Intelligence and related subjects.
  • Mentor and advise students.
  • Contribute to the development of the Artificial Intelligence curriculum.
  • Participate in service activities at the department, college, and university levels.

The successful candidate will join the department(s) appropriate to their area of scholarly focus. The successful candidate will be expected to bring a research group supported by existing external grants and have the opportunity to negotiate additional hires in related areas to support their research.
Required Qualifications
  • Ph.D. or terminal degree.
  • Evidence of a scholarly focus and sustained record of research excellence on Artificial Intelligence.
  • Evidence of sustained record of excellence in teaching and mentoring students.
  • Evidence of a sustained record of obtaining external funding.

Preferred Qualifications
  • Evidence of activity in organizing conferences and sessions on Artificial Intelligence.
  • Experience in teaching and mentoring both undergraduate and graduate students.
  • Experience supporting experiential learning for undergraduate and graduate students.
  • Strong commitment to interdisciplinary collaboration.
  • Evidence of community engagement for scholarship and teaching.

Application Procedures
Applications will be considered on a rolling basis. Only applications submitted through the Texas State University website will be accepted and considered: ;/strong>Interested applicants should submit the following materials:
  • A cover letter highlighting scholarly focus, publications, teaching, and external funding.
  • A detailed curriculum vitae.
  • Unofficial transcripts (all in one document).
  • The names and contact information of three references.

The selected candidate will be required to provide official transcripts from all degree granting universities.
Proposed Start Date
Fall 2026 (negotiable)
Posting Date
03/27/2026
Review Date
10/30/2026
Close Date
Open Until Filled?
Yes
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
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